CayleyMenger determinantbased endmember extraction algorithm for hyperspectral unmixing

PU HanYe; WANG Bin; ZHANG LiMing

doi:10.3724/sp.j.1010.2012.00265

[1] Chang CI. Hyperspectral imaging: techniques for spectral detection and classification[M]. New York: Plenum,2003.

[2] Plaza A, Martinez P, Perez R, et al. A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data[J]. IEEE Trans. Geosci. Remote Sens.,2004,42(3):650663.

[3] Boardman J. Automating spectral unmixing of AVIRIS data using convex geometry concepts [C]. in Summaries 4th Annu. JPL Airborne Geoscience Workshop,1993,1:1114.

[4] Winter M E. Nfindr: an algorithm for fast autonomous spectral endmember determination in hyperspectral data[C]. in: Proceedings of the SPIE conference on Imaging Spectrometry V,1999,3753:266275.

[5] Chang CI, Wu CC, Liu W, et al. A new growing method for simplexbased endmember extraction algorithm[J]. I IEEE Trans. Geosci. Remote Sens.,2006,44(10):28042819.

[6] Nascimento J, BioucasDias J. Vertex Component Analysis: a fast algorithm to unmix hyperspectral data[J]. IEEE Trans. Geosci. Remote Sens.,2002,43(4):898910.

[7] Tao X, Wang B, Zhang L. Orthogonal bases approach for decomposition of mixed pixels for hyperspectral imagery[J]. IEEE Geosci. Remote Sens. Lett.,2009,6(2):219223.

[8] Lee D D, Seung H S. Learning the parts of objects by nonnegative matrix factorization[J]. Nature,1999,401:788791.

[9] Hyvarinen A, Karhunen J, Oja E. Independent Component Analysis[M]. New York: Wiley,2001.

[10] Blumenthal L M. Theory and applications of distance geometry[M]. New York: Chelsea,1970.

[12] Kaltofen E, Villard G. On the complexity of computing determinants[C]. in Proc. 5th Asian Symp. Computer Mathematics,2001,9:1327.

[13] Heinz D C, Chang CI. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery[J]. IEEE Trans. Geosci. Remote Sens.,2001,39(3):529545.

[14] Clark R N, Swayze G A. Evolution in imaging spectroscopy analysis and sensor signaltonoise: an examination of how far we have come[C/OL]. The 6th Annual JPL Airborne Earth Science Workshop, 1996. http://speclab.cr.usgs.gov/PAPERS.imspec.evol/aviris.evolution.html